Wearable medical treatment device with motion/position detection

ABSTRACT

A wearable medical treatment device for monitoring a patient&#39;s ECG and treating a cardiac condition is disclosed. The device includes a patient vest portion having cardiac sensing electrodes to obtain an ECG signal of a patient, therapy electrodes for external placement proximate to skin of the patient for delivering electrotherapy to treat the cardiac condition, and, a monitor coupled to the cardiac sensing electrodes and the therapy electrodes via at least one cable. The monitor includes a system computer disposed in the monitor. The system computer is configured to receive the ECG signals of the patient and to execute at least one arrhythmia detection algorithm to determine whether the patient is experiencing a cardiac condition in need of treatment, and a mechanical shock detector disposed on the monitor and configured to detect at least one of a force or acceleration indicative of a mechanical shock to the monitor.

CROSS-REFERENCE TO RELATED APPLICATIONS

This Application is a Continuation of U.S. patent application Ser. No.15/850,435, titled “Wearable Medical Treatment Device WithMotion/Position Detection”, filed on Dec. 21, 2017, which is aContinuation of U.S. patent application Ser. No. 15/187,952, titled“Wearable Medical Treatment Device With Motion/Position Detection”,filed on Jun. 21, 2016, which is a Continuation of U.S. patentapplication Ser. No. 14/180,775 (now U.S. Pat. No. 9,398,859), titled“Wearable Medical Treatment Device With Motion/Position Detection”,filed on Feb. 14, 2014, which is a Continuation of U.S. patentapplication Ser. No. 12/840,633 (now U.S. Pat. No. 8,676,313), titled“Wearable Medical Treatment Device With Motion/Position Detection”,filed on Jul. 21, 2010, which is a Continuation of U.S. patentapplication Ser. No. 12/002,469 (now U.S. Pat. No. 7,974,689), titled“Wearable Medical Treatment Device With Motion/Position Detection”,filed on Dec. 17, 2007, each of which is hereby incorporated herein byreference in its entirety. U.S. application Ser. No. 12/002,469 claimsthe benefit of U.S. Provisional Patent Application Ser. No. 60/934,404titled “Wearable Medical Treatment Device With Motion/PositionDetection”, filed on Jun. 13, 2007. The following U.S. Patents arehereby incorporated by reference: U.S. Pat. Nos. 4,928,690, 6,065,154,5,944,669, 5,741,306, 6,681,003, 6,253,099, and 5,078,134.

FIELD OF THE INVENTION

The present invention is directed toward wearable defibrillators and,more particularly, toward wearable defibrillators capable of detectingthe motion and/or position of a patient wearing the wearabledefibrillator and using the sensed motion and/or position to determinean appropriate treatment.

BACKGROUND OF THE INVENTION

The wearable defibrillator consists of a monitor and a vest (or belt)which are both worn by the patient. The device monitors the patient'sECG with sensing electrodes, such as 10 a, 10 b, 10 c, 10 d, to detectlife-threatening arrhythmias and delivers a cardioverting ordefibrillating shock through therapy pads, such as 18, if treatment isneeded.

There is also a third piece of equipment called the battery charger thatcan provide two functionalities: first it can charge the monitorbatteries, 41, and second it can provide a gateway for the monitor todownload data to a central server. The monitor can communicate to thecharger through a wireless Bluetooth link and the charger can connect toa central server through the internet.

The accelerometer(s) can allow for the computer in the wearabledefibrillator to determine the position of the monitor, belt and/orpatient, and the corresponding applied forces. This information can beused in a confidence based arrhythmia detection algorithm to acceleratethe timing to hasten the occurrence of or hold off therapy based on pastand present body motion and/or position history.

Other devices that could be used instead of an accelerometer wouldinclude, but are not limited to: gyroscope, magnetometer, hall-effectdevices, and other force motion or position sensors.

SUMMARY OF THE INVENTION

Accelerometers are able to measure x, y, and z positions. Thisimprovement covers having an accelerometer in either the belt, which isworn on the patient's upper body, or in the monitor, which is worn onthe patient's lower body; or both locations; or other positions on thepatient.

The accelerometer in the belt can be used to determine patient positionsince it is located on the upper torso of the patient. As a result, thebelt accelerometer will be chosen such that high sensitivity data can bemeasured or determined from possible body positions (e.g. patientposition). The accelerometer in the monitor can be chosen so that highsensitivity data (such as breathing or other minor motion) can bemeasured; low sensitivity data (such as mechanical shock) can also bemeasured; or both. Additional accelerometers can also be used so thatboth low sensitivity and high sensitivity data can be measured, or anaccelerometer capable of both low sensitivity and high sensitivity canbe used.

Some embodiments of the invention include a patient wearable treatmentdevice having treatment elements adjacent to said patient in proximityto said patient's skin, and at least one patient motion detectorconnected to the device and generating a signal indicative of patientactivity, and at least one control to evaluate signals from said motiondetectors to determine if said signal is indicative of patient activityappropriate for treatment.

Embodiments include using at least one accelerometer including at leastone multi-axis accelerometer and can include two three-axisaccelerometers with one of said accelerometers mounted on a patient vestportion and another of said accelerometers is mounted on the monitor orother portion. Some embodiments can include a visual display on saidmonitor portion where the orientation of said visual display iscontrolled by the output of said accelerometer.

The body orientation of the patient is determined by the output of atleast one accelerometer including standing and prone.

Treatment can be accelerated or delayed based upon the output of themotion detector.

The invention can detect a patient condition based upon the level ofactivity of a patient over a period of time based upon said storedoutput of said accelerometer, and can be used to detect conditions suchas, for example, congestive heart failure or sleep disorders.

A method of cardiac treatment of a patient including sensing a cardiaccondition, sensing patient motion with sensors such as, for example,accelerometers worn by said patient and evaluating said sensed patientactivity to determine treatment is appropriate to said cardiaccondition.

Embodiments can detect vertical and prone positions and determine apatient activity and a patient body orientation.

The following is a list of the functionality, information that can beprovided by the motion detection or accelerometers:

Patient body state: Patient is vertical, Patient is horizontal (On leftside, On right side).

Patient is moving in repetitive pattern: Vibrating (environmental),Convulsing.

Patient is accelerating: Patient is falling.

Equipment (belt and monitor) state: x/y/z position.

Equipment acceleration.

Equipment mechanical shock (high force impact, acceleration).

Verification of tactile motor operation in belt node.

BRIEF DESCRIPTION OF FIGURES

FIG. 1 shows a diagrammatic representation of accelerometer positioningin certain embodiments with cardiac sensors and treatment electrodes.

FIG. 2 is a block diagram of an embodiment using two accelerometers.

FIG. 3 is a block diagrammatic representation of an embodiment using anaccelerometer in a monitor.

FIG. 4 is a block diagram of one embodiment using a belt nodeaccelerometer.

FIG. 5 is a logic diagram of an algorithm that can be used with oneembodiment of the invention.

DESCRIPTION OF SOME EMBODIMENTS OF ALGORITHMS AND METHODS OF USINGINFORMATION

FIG. 1 shows a patient 1 with a wearable defibrillator. Typically thedevices shown would be worn as a vest, belt and/or other clothing. Inthis embodiment, four sensing electrodes 10 a, b, c, d, or sensors areshown. While this embodiment is for cardiac monitoring and treatment,other medical functions could also be appropriately monitored ortreated. In this embodiment, a node, 11, is used and the sensors 10 a,b, c, d and treatment devices 18 connect to the node. The node 11 couldbe on the belt or on other patient locations. The therapy pads ortreatment devices 18 provide treatment when a sensed condition indicatesa preferred treatment.

Any motion sensor can be used. In the present preferred embodimentaccelerometers are used. Such sensors indicate accelerating movements.Because of the nature of human movements, generally comprising shortdistance and short duration, accelerometers give a very acceptableindication of patient movement. Single axis accelerometers can be usedas well as multi-axis sensors.

In this embodiment, two accelerometers 16, 17 are used. Oneaccelerometer 17 is located on the node device 11 and a second 16 isused on the monitor 15. It is understood that some embodiments will usea single accelerometer or position/force/motion detector, and stillother embodiments may use three or more. Using multiple sensors permitthe treatment algorithm to evaluate accelerometer (sensor) differentialsto predict patient activity and accelerometer reliability. The use ofmultiple accelerometers permit separate evaluation of different patientmovements and comparing such separate movements to best determinepatient activity and equipment function. The actual treatment algorithmused will usually depend upon the diagnostic requirement of eachindividual doctor and the condition(s) he wishes to monitor. Any or allof the activities determined by the invention can be used. These can becombined with other inputs.

FIG. 2 shows a block diagram of a device in which the accelerometer andmicrocontroller are housed on the patient, 1, wearable vest or belt. Thevest worn devices can communicate via a cable or wireless communicationlink to a monitoring device that contains a second accelerometer 31.Each accelerometer 21, 31 can indicate the respective movement of itsposition of the patient, and/or be used in an algorithm that uses thecombined signals to more reliably indicate patient activity. Processingof accelerometer data can be performed by the microcontroller 22 in thebelt/vest node 20 or a system computer 32 located in the monitor 30 orat both processing locations. Accelerometers 21, 31, indicate change invelocity. Patients will normally have an activity level when consciousthat includes changes in both velocity and direction. This is incontrast to the lack of change of body motion present in an unconsciouspatient. Other sensors such as, for example, gyroscopes can be used,with appropriate software to indicate motion or lack of motion. Outputsfrom sensors may be integrated, compared or differentiated to bestpredict patient activity, and reduce interference or error signals.

Patient Movement During Arrhythmia

The use of accelerometers can be used to determine a patient's bodystate during the detection of an arrhythmia. It also may be used todetect if a mechanically noisy environment is the cause of an erroneousarrhythmia detection.

Patient Movement Used in the Confidence Algorithm Factor

A confidence algorithm, which is influenced by many inputs including thepatient's body state as determined by the accelerometers, is used todetermine if a patient's heart arrhythmias requires defibrillation.

Generally, cardiac treatment is not required if the patient isconscious. By using accelerometers the patient body state can bemonitored. If there has been no change in patient body state for aperiod of time as detected by the accelerometer(s) then there will be anincreased confidence of the algorithm that the patient is unconscious.If a change in patient body state has been detected by theaccelerometer(s) then there will be a decreased confidence of thealgorithm that the patient is unconscious. The wearable defibrillatorcan hasten its decision to apply treatment if a high level of confidenceexists that the patient is unconscious. If patient motion is detectedwhile other sensors and algorithms indicate that a treatable rhythm ispresent, treatment delivery can be delayed to provide the patientadditional time to respond to system messaging.

False Arrhythmia Detection Due to Physical Motion

Sometimes a false arrhythmia is detected by the system due to physicalmotion, i.e. electrode or cables moving against the body or clothing,which creates false deviations in the patient's ECG. If an arrhythmia isdetected and vibration or high patient/equipment acceleration isdetected then the patient can be alerted to this condition. The tactilestimulator may be turned on or the audio volume may be increased tonotify the patient reference 1. This information may also be applied tothe treatment confidence algorithm thereby causing a decrease inconfidence given that the physical motion can cause a false positivedetection. Use of the accelerometer (s) can reduce undesired treatmentof false arrhythmias.

Correlation of ECG Artifact with Belt Motion

Motion of the electrode belt may cause interference with ECG signalpickup and possible false detections. The signals obtained from theaccelerometer can be correlated with an ECG signal to determine if ECGsignal contamination exists. The quality of the correlation can be usedas an additional confidence factor in the arrhythmia detectionalgorithm. If an arrhythmia is detected and there is a high degree ofcorrelation between the ECG signal and the accelerometer signal theconfidence in the arrhythmia detection can be reduced. No signalcorrelation indicates increased confidence that the arrhythmia detectionis accurate.

Treatment Verification

The accelerometers may also be used to verify that a treatment has beenapplied by detecting sudden movements or muscle spasms in a patientimmediately following the treatment. Often after defibrillation apatient's muscles spasm from the energy pulse. The muscle spasm willcause detectable movements on the accelerometers similar to convulsing.

Detection of Bystanders/Unsuccessful Defibrillation

Post shock motion of the patient after several unsuccessfuldefibrillation attempts may indicate the presence of bystanders. Thebystanders could be rescue personnel such as an EMT. In this casespecial alarms or voice messages could be generated to inform thebystander of the equipment and treatment status. Additional shocks couldbe delayed or canceled to prevent a shock to the bystanders or rescuepersonnel.

Post Shock Motion Detection

When a shock is delivered the patient may move suddenly and then returnto a state where there is a lack of motion. If no further motion isdetected a high confidence can exist that the arrhythmia is stillpresent. This information can be used as an additional post-shockconfidence factor for the detection algorithm and that a continuingcondition exists. If post-shock motion continues or if the patient bodyposition changes from a horizontal to vertical position, there is highconfidence that the defibrillation was successful and additional shockscan be delayed.

Belt Quality Feedback

Overall belt quality can be examined by gathering data using theaccelerometers during certain failure states such as electrode fall-offand therapy pad fall-off detection.

Reduce Electrode and Therapy Pad Fall-Offs

If one of the electrodes 10 or therapy pads 18 fall off of the patient,then the system will record the patient body state during the fall-offevent. Patient positions include sitting up, lying down; left side,right side. If vibration or patient falling is detected then that wouldalso be recorded as well since it might be the cause of the falloffevent.

Over time the data can be analyzed and used to determine positions thatmay tend to cause fall-offs. This information can then be used toimprove the belt design reducing and possibly eliminating the fall-offsin those certain activities or positions.

An example would be if post analysis of data over a several month periodof time shows that 75% of ECG fall-offs occur when the patient is layingon their left side then the belt design on the left side could beexamined to determine what might be making it susceptible to fall-offsin that patient position.

Provide Recommendations to Patients

Accelerometers data collected over time could also be used to inform newpatients of patient's body states that tend to be more comfortable.Patients who have worn the device for an extended time will most likelyhave experimented with different positions (sleeping positions, sittingpositions, etc.) and will tend to use the most comfortable ones. Thisdata can be recorded and used to improve the belt for the otherpositions and also provide recommendations to new patients.

Improve Belt Comfort

The accelerometer data collected during patient use can be used toimprove the comfort of the belt by studying patient sleep habits, orhabits during other selected activities.

If 80% of the patients tend to sleep on their right side then theassumption can be made that something about the belt makes it lesscomfortable for the patients to lie on their left side. With thisinformation research can be performed to determine what about thatposition causes the belt to be uncomfortable and engineering can beperformed to improve the belt comfort.

Belt Self Diagnostics

Self diagnostics may also be provided such as Belt Node TactileStimulator (vibration/acceleration) self test.

The tactile stimulator 12 (a patient notification device) is a motorwith an unbalancing weight on its shaft. When the motor is on it causesthe belt to vibrate much like a cell-phone in vibration mode.

When the tactile is activated the accelerometer 17 in the node can beused to verify that the node is vibrating which means that the tactileis working.

Patient Notification of Physical Events

The accelerometers can be used to provide feedback to the patientregarding certain mechanical events. They may also be used to adjust thedevice audio volume outputs based on the current state of the patient.

Equipment Abuse Notification

If certain mechanical conditions that may lead to equipment damage suchas mechanical shock or vibration are detected by the accelerometers thenthe system can notify the patient of such conditions and advise thepatient by the monitor computer screen on 15 of the condition.

If the monitor or belt is dropped or if they are hit with some otherobject causing a force greater than a predefined acceptable force, thenthe monitor will provide either an audio or visual (display) indicationto the patient that the event has occurred and warn against allowingsuch an event to occur again.

If continuous vibration above a certain predefined acceptable thresholdis detected for a period of time then the monitor on 15 may also providea warning to the patient. Such vibration could lead to electrode ortherapy pad fall-off or even cause false arrhythmia detection if enoughphysical motion is applied to the electrode and cables.

Adjust Device Alarm Volumes

If the accelerometers have recorded the patient body state to beunchanged for an extended time and the patient is either lying orsitting down then the monitor will assume the patient is sleeping andwill then increase the audio volume output of any audio message ifnecessary to awaken the patient. The monitor may also enable the tactilestimulator to awaken the patient in the event of a critical audiomessage.

Adjust Display Rotation

The monitor accelerometer can be used to determine the proper rotationof the system display or LCD output on 15. The monitor 15 contains adisplay that can either be used to deliver a visual message to thepatient or for initial patient setup by care givers. For patient visualmessages, since the monitor is positioned approximately at the patient'smid section, the display would be upside down (rotated 180 degrees) withrespect to the monitor. However, during patient setup, the monitor couldbe held right side up in front of the skilled personnel. As a result,the display would be right side up. The monitor accelerometer data canbe used to adjust the display accordingly depending on how the displayis attempting to be read.

Detect Equipment Abuse

Detect equipment abuse during use as well as during shipping. Equipmentabuse can be determined by parameters such as number of times droppedand intensity. Detection of equipment abuse can trigger such actions asinternal diagnostics, auto download, and equipment servicerecommendations.

Equipment Drop Detection

If the accelerometers detect a mechanical shock above a pre-determinedacceptable threshold then the monitor will record a drop event. Otherparameters such as date/time stamp and current operating mode will berecorded as well.

The date/time stamp should allow correlation between the monitorlocation and the damaging event allowing further information to beobtained using the carrier tracking numbers if such damage occurredduring shipping.

If it is not during shipping and is during patient use and there is someform of equipment malfunction after the drop then that could be tied tothe root cause of the equipment failure. Such information could be usedto advice patients of the types of mechanical shocks that may damage theequipment. It also may be used to improve the robustness of theequipment to survive such forces in the future.

Equipment Service Recommendation

If the monitor accelerometer 16, belt accelerometer 17 have recorded amechanical shock above a predefined acceptable threshold or if apredefined acceptable number of mechanical shocks has occurred then themonitor will recommend with an audio or visual (display) message via 15to the patient that the equipment should be serviced. The monitor on 15will also, during the next download, notify the manufacturer that itshould be serviced.

Internal Diagnostics

If the accelerometer does detect an excessive mechanical shock on thebelt or monitor then it may initiate internal self-diagnostics. Both themonitor 15 and node 11 have built-in circuitry as shown in FIGS. 3 and 4to allow most of its components to be tested with self diagnostics.

Auto Download to Manufacturer

If there is a significant mechanical shock to the belt or monitor thenthe monitor may immediately initiate an automatic download to themanufacturer requesting service.

Monitor Patient Activity Over Time

Accelerometer data can be measured and stored over time to study patientactivity. Patient activity data can be used to provide feedback todoctors about a patient's specific condition.

Patient Activity Data and Treatment

After a treatment event, patient activity data taken before, up to, andincluding the event can be downloaded. This data can be collected amongpatients and used to make correlations between patient activity derivedfrom accelerometers 16, 17 and the probability of a possible treatmentevent occurring. These correlations can be used to take precautionarymeasures with patients who have similar activities as those who had pasttreatment events.

Patient Activity Data and Doctor Feedback

Patient activity data can be used over a period of time by doctors ordata evaluation systems to determine if proper patient activity levelsare met. Examples to study would be extremely low patient activity;patient performing recommended exercises; and/or patient real timeactivity level and corresponding heart rate data. Patients who areexperiencing congestive heart failure can be monitored for physicalactivity and at rest body position. Gradual reduction in patientactivity indicated by lack of motion can indicate a worsening of thecongestive heart failure condition. Body position at rest can alsoindicate patient deterioration if body position at rest is primarilyvertical since congestive heart failure patients may have difficultyresting in a horizontal position.

FIG. 1 shows the location of the accelerometers 16, 17 with respect tothe patient and other system assemblies. The accelerometer 16 located inthe front is the monitor accelerometer. The accelerometer located in theback is the belt node 17 accelerometer. The trunk cable 13 allowscommunication between the belt node computer and the main monitorcomputer in this embodiment. This permits belt node accelerometer datato be transferred to the main monitor computer 47. In addition, thetrunk cable 13 allows monitor power supplies 41, 51 to be used to powerthe belt node computer and peripherals. The two accelerometers or motiondetectors allow the system to determine parameters such as patient bodyposition, patient body movement, patient body acceleration as well asperform certain system self-diagnostics. The monitor can contain eithera high-G or a low-G accelerometer. A high-G low-sensitivityaccelerometer would allow the system in addition to detect patient andequipment physical shock.

FIG. 3 shows the circuitry used to acquire data from the accelerometer43 in the monitor (15 on FIG. 1). From the main battery 41, powerregulators 42 are used to supply the electronics with needed voltages.The computer 47 controls various system parameters such as accelerometersensitivity, multiplexer (MUX) 45 channel select, the analog to digitalconverter (ADC) 46, and serial communications. The FreescaleSemiconductor MMA7260Q three axis low-g micromachined accelerometer canbe used. The g-select control line between 47 and 43 allow thesensitivity to be varied from, for example, 1.5 g to 6 g. A high-G lowsensitivity accelerometer could also be used instead of the MMA7260Q.This can allow patient/equipment shock to be detected.Resistor-capacitor (RC) filtering 44 can be used on each of theaccelerometer outputs to minimize clock noise from the accelerometerinternal switched capacitor filter circuit. The MUX 45 select lines canbe controlled by the computer 47 and may allow each axis output of theaccelerometer to be switched to the ADC 46 input. The ADC 46 can also becontrolled by the computer 47 via a serial interface.

FIG. 4 is a block diagram that shows circuitry that can be used toacquire data from the accelerometer 52 on the belt node (11 on FIG. 1).Power supplies and regulators 51 derived from the monitor can be used topower the electronics in the belt node. The Freescale SemiconductorMMA7260Q three axis low-g micromachined accelerometer 52 can be used.The belt node computer 54 controls the g-select lines that again canallow the sensitivity to be varied from 1.5 g to 6 g. RC filtering aswell as amplitude scaling 53 can be used on each of the accelerometeroutputs. An internal MUX and ADC in the belt node computer 54 can allowthe accelerometer analog outputs to be interfaced digitally directly tothe computer.

An arrhythmia detection algorithm can be implemented by assigningvarious confidence coefficients or weighting values to the variousdetectors used by the algorithm. This can be done prior to using themotion detection confidence algorithm. For example, the monitor can bedesigned with two independent ECG data streams for analysis. Thealgorithm can execute independent algorithms on each data stream thatanalyze the signal to extract heart rate, morphology, frequencyinformation, and other information. Additional analysis is performed,independently on each channel, to analyze the signal for noisecontamination that may result from patient motion or biological signalssuch as muscle noise. Other secondary inputs to the basic detectionalgorithm can include a patient response button and inputs from theaccelerometers.

A weighting value can be assigned to each detector, response button andaccelerometer and the combination for all detectors can be used to makethe decision that a treatable arrhythmia condition exists. In addition,the weighting values can be used to manipulate the timing of therapydelivery.

The action of the algorithm in the presence of a noisy ECG channel couldbe to place more weight on the heart rate detector in the clean ECGchannel. For the accelerometer enhanced confidence algorithm, aweighting could be assigned that would delay delivery of treatment whilepatient motion is detected as shown in the flow diagram of FIG. 5.

The flow diagram in FIG. 5 shows that if patient motion is detectedprior to the detection of a treatable arrhythmia, the timing oftreatment delivery can be modified based on the accelerometer 16, 17inputs when the arrhythmia is detected. If the patient becomesmotionless coinciding with the arrhythmia detection, there is anincreased confidence that the arrhythmia diagnosis is accurate and thedelivery of treatment can occur sooner. If motion continues after thearrhythmia detection, the confidence of a valid detection can bedecreased because lethal arrhythmias usually result in a lack ofconsciousness. In this case, the delivery of treatment can be delayed toallow time for audio voice messages to prompt the patient to respond bypressing the response button. The response button provides aresponsiveness test input to the algorithm. In some embodiments, it maybe desirable to never deliver a shock to a conscious patient. Thisalgorithm can reduce the possibility of false treatment based on invalidrhythm diagnosis due to corrupt ECG inputs caused by excessive patientmovement or other environmental factors.

FIG. 5 shows how a typical algorithm that detects arrhythmia can have anincreased confidence by serially feeding through a subsequent confidencealgorithm using input from a motion detector or accelerometer(s). Othermotion detecting devices or confidence algorithms can use various motiondetection criteria as desired by physicians and based upon the treatablecondition or patient.

As it will usually be desirable to track and store data in the patientwearable device, the addition of motion data can also be stored, trackedand evaluated. One such use would be to evaluate historicalmotion/activity levels to detect conditions such as congestive heartfailure. Such diseases are often found in patients who would be wearinga cardiac treatment device.

What is claimed is:
 1. A wearable medical treatment device formonitoring a patient's ECG and treating a cardiac condition comprising:a patient vest portion comprising cardiac sensing electrodes configuredto be disposed on a patient to obtain an ECG signal of the patient; andtherapy electrodes configured for external placement proximate to skinof the patient for delivering electrotherapy to treat the cardiaccondition of the patient; one or more motion detectors; and a monitorcoupled to the cardiac sensing electrodes and the therapy electrodes ofthe patient vest portion via at least one cable, the monitor comprisinga system computer disposed in the monitor, the system computerconfigured to receive the ECG signal of the patient, detect at least oneof a patient motion or a mechanical shock from at least one of the oneor more motion detectors, and execute at least one arrhythmia detectionalgorithm based on at least the received ECG signal of the patient todetermine whether the patient is experiencing a cardiac condition inneed of treatment, wherein at least one of the one or more motiondetectors is disposed on the monitor and configured to detect at leastone of a force or acceleration indicative of a mechanical shock to themonitor; wherein a mechanical shock indicated by a force greater than apredefined acceptable force comprises a device equipment abuse eventthat can trigger at least one of a diagnostic action or a serviceaction.
 2. A wearable medical treatment device of claim 1, wherein theservice action comprises providing at least one of an audio or visualindication of equipment abuse upon detecting the force greater than thepredefined acceptable force.
 3. The wearable medical treatment device ofclaim 1, wherein the the at least one of the one or more motiondetectors disposed on the monitor comprises one or more accelerometers.4. The wearable medical treatment device of claim 1, wherein the atleast one of the one or more motion detectors disposed on the monitorcomprises a force detector.
 5. The wearable medical treatment device ofclaim 1, wherein the one or more motion detectors comprise one or moreaccelerometers.
 6. The wearable medical treatment device of claim 5,wherein the one or more accelerometers include at least two three-axisaccelerometers.
 7. The wearable medical treatment device of claim 5,wherein the system computer is configured to process data from the oneor more accelerometers.
 8. The wearable medical treatment device ofclaim 6, wherein the system computer is configured to process data fromthe at least two three-axis accelerometers.
 9. The wearable medicaltreatment device of claim 7, wherein the system computer is configuredto provide feedback to the patient based on the processed data beingindicative of the mechanical shock.
 10. The wearable medical treatmentdevice of claim 1, wherein the at least one of the one or more motiondetectors disposed on the monitor is configured to detect whether themonitor has been dropped based on the detected at least one of a forceor acceleration indicative of a mechanical shock.
 11. The wearablemedical treatment device of claim 10, wherein the at least one of theone or more motion detectors disposed on the monitor is configured todetect at least one of a number of times the monitor has been dropped oran intensity of the mechanical shock.
 12. The wearable medical treatmentdevice of claim 5, wherein the system computer is further configured torecord at least one of a date stamp, a time stamp, or a currentoperating mode when at least one of a force or acceleration indicativeof a mechanical shock is detected.
 13. The wearable medical treatmentdevice of claim 8, wherein the system computer is further configured torecord at least one of a date stamp, a time stamp, or a currentoperating mode when at least one of a force or acceleration indicativeof a mechanical shock is detected.
 14. The wearable medical treatmentdevice of claim 5, wherein the system computer is, based on thedetection of at least one of a force or acceleration indicative of amechanical shock, further configured to initiate self-diagnostics ofmonitor circuitry.
 15. The wearable medical treatment device of claim 8,wherein the system computer is, based on the detection of at least oneof a force or acceleration indicative of a mechanical shock, furtherconfigured to initiate self-diagnostics of monitor circuitry.
 16. Thewearable medical treatment device of claim 1, wherein the at least oneof the one or more motion detectors disposed on the monitor isconfigured to detect a mechanical shock in a range of at least 1.5 g to6 g.
 17. The wearable medical treatment device of claim 1, wherein thesystem computer is configured to execute the at least one arrhythmiadetection algorithm based on at least the received ECG signal of thepatient and whether a patient motion is detected from at least one ofthe one or more motion detectors.
 18. The wearable medical treatmentdevice of claim 1, wherein the diagnostic action comprises performing aninternal diagnostic.
 19. The wearable medical treatment device of claim1, wherein the service action comprises performing an auto download. 20.The wearable medical treatment device of claim 1, wherein the serviceaction comprises providing an equipment service recommendation.